Green Compute Portal; Dr Bane; Green Software Engineering

Pathways to Effective Carbon Reductions
by Use of Green Scheduling

This is a project, referred to as "P4GS", funded by the UKRI-STFC grant "NetDRIVE2 (Grant UKRI910)" exploring what is feasible using green schedulers. The project will produce a report that discusses the state of the art, evaluates pathways for UKRI to prototype an effective green scheduler and quantifies potential carbon (and cost) savings.

People

Michael Bane, Manchester Met University & Green Compute UK	PI
Harry Toole, Manchester Met University	Researcher
Zeba Munshi, Manchester Met University	Researcher
Jack Boulton	Researcher
Caterina Doglioni, Univeristy of Manchester	Co-I
Emily Newton, Univeristy of Manchester	Researcher
Loic Lannelongue, University of Cambridge	Co-I

Aims and Objectives

The key objectives include:

undertaking an in-depth literature survey to review current approaches to scheduling for reducing carbon
capturing specific UKRI/DRI constraints
reviewing lessons learned from specific examples of green scheduling in the particle physics community and users of CATS
preparation of a report bringing together what would be needed to implement an effective scheduler in the context of UKRI DRI
dissemination of key findings via this web site

Outputs

As data and discussion papers become available, they will be published here (or linked to from here if hosted elsewhere)

Pathways to Effective Carbon Reductionsby Use of Green Scheduling

People

Aims and Objectives

Outputs

Pathways to Effective Carbon Reductions
by Use of Green Scheduling